Abstract: A method for determining airborne particulate density, the method including: locating or positioning at least one dark target within a local environment and scanning the local environment using an image capturing component of a user equipment device; constructing a geometric three-dimensional model of the local environment; determining pertinent features within the local environment based on the geometric three-dimensional model; focusing the image capturing component of the user equipment device on the dark target, the user equipment device having quantified location and orientation within the local environment; determining an instantaneous light intensity of the local environment and capturing at least one image of the dark target using the image capturing component of the user equipment device; and analyzing the at least one image in correspondence with the pertinent features, the instantaneous light intensity, and the dark target, and determining therefrom an airborne particulate density in the local envi

Abstract: Methods and systems are disclosed which determine a location context of a mobile device such as a smartphone. The method may include the following steps: collecting sensor specific data from sensors of the mobile device, applying the sensor specific data to a decision function, and determining, as an output of the decision function, a location context of the mobile device. Also disclosed is a non-transitory computer readable medium containing instructions that when executed causes one or more processors of the mobile device to perform the disclosed method.

Abstract: A method for determining airborne particulate density, the method including: locating or positioning at least one dark target within a local environment and scanning the local environment using an image capturing component of a user equipment device; constructing a geometric three-dimensional model of the local environment; determining pertinent features within the local environment based on the geometric three-dimensional model; focusing the image capturing component of the user equipment device on the dark target, the user equipment device having quantified location and orientation within the local environment; determining an instantaneous light intensity of the local environment and capturing at least one image of the dark target using the image capturing component of the user equipment device; and analyzing the at least one image in correspondence with the pertinent features, the instantaneous light intensity, and the dark target, and determining therefrom an airborne particulate density in the local envi

Abstract: A computer implemented data processing system for estimating an amount of people situated in a specific location and their geo-demographic classification within time range is provided herein. The system is combined of a collector that is configured to collect data on signals and each signal is given a unique ID; an association module configured to associate each signal with a respective location, namely, place of origin; a processing unit configured to calculate total number of users subscribed to a specific network service provider situated in a specific location and time range; calculate a dynamic ratio by research and statistical data; and an estimation module configured to estimate the amount of people originated from a specific location and the overall amount of people in a location within a time range, by applying the calculated dynamic ratio, that was calculated to each time stamp separately.

Abstract: A computer implemented data processing system for using customer relationship management (CRM) data exhibiting unique user identifiers in a cellular network for creating geo-statistical representations of the users. The system is arranged to: repeatedly identify all network-connected devices which are both active and idle in each location area using the unique identifier; repeatedly create a table for all location areas, each table exhibiting: location area identifier, unique user identifier, time of inflow to the location area, time of outflow from the location area; and differentiate table of time N?1 over table of time N thereby detecting inflow outflow quantities of unique identifiers for each location area; decipher the difference table by the authentication center of the network; analyze the deciphered tables using CRM profiles; and join over time, the deciphered tables with corresponding location area thereby creating at least one GIS data layer.

Abstract: A computer implemented data processing system for using customer relationship management (CRM) non-exhibiting unique user identifiers in a cellular network for creating geo-statistical representations of the users.

Abstract: A computer implemented data processing system for estimating an amount of people situated in a specific location and their geo-demographic classification within time range is provided herein. The system is combined of a collector that is configured to collect data on signals and each signal is given a unique ID; an association module configured to associate each signal with a respective location, namely, place of origin; a processing unit configured to calculate total number of users subscribed to a specific network service provider situated in a specific location and time range; calculate a dynamic ratio by research and statistical data; and an estimation module configured to estimate the amount of people originated from a specific location and the overall amount of people in a location within a time range, by applying the calculated dynamic ratio, that was calculated to each time stamp separately.

Abstract: A computer implemented data processing system for using customer relationship management (CRM) non-exhibiting unique user identifiers in a cellular network for creating geo-statistical representations of the users.

Abstract: A computer implemented data processing system for extracting user related tempo-spatial data from a cellular network comprising a plurality of cells, each cell comprising at least one cell sector, wherein each cell sector is in communication with a plurality of network-connected devices, and wherein each device is associated with a user profile. The system comprising: a computer component aggregation module, wherein the cellular network comprises: a network-connected raw database, a network-connected device profiles database, a unique identifier and a location module. The aggregation module receives from the cellular network combined data exhibiting identified network-connected devices with their corresponding profiles, and aggregates in response, profile each identified network-connected device with the corresponding location code thereby creating an anonymous aggregated user related data.

Abstract: A computer implemented data processing system for using customer relationship management (CRM) data exhibiting unique user identifiers in a cellular network for creating geo-statistical representations of the users. The system is arranged to: repeatedly identify all network-connected devices which are both active and idle in each location area using the unique identifier; repeatedly create a table for all location areas, each table exhibiting: location area identifier, unique user identifier, time of inflow to the location area, time of outflow from the location area; and differentiate table of time N?1 over table of time N thereby detecting inflow outflow quantities of unique identifiers for each location area; decipher the difference table by the authentication center of the network; analyze the deciphered tables using CRM profiles; and join over time, the deciphered tables with corresponding location area thereby creating at least one GIS data layer.